Matthew England

1.3k total citations
35 papers, 134 citations indexed

About

Matthew England is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Matthew England has authored 35 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 7 papers in Artificial Intelligence and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Matthew England's work include Polynomial and algebraic computation (15 papers), Formal Methods in Verification (8 papers) and Logic, programming, and type systems (6 papers). Matthew England is often cited by papers focused on Polynomial and algebraic computation (15 papers), Formal Methods in Verification (8 papers) and Logic, programming, and type systems (6 papers). Matthew England collaborates with scholars based in United Kingdom, Germany and France. Matthew England's co-authors include James H. Davenport, Russell Bradford, David J. D. Wilson, James Shuttleworth, Jianhua Yang, Sumukh Deshpande, Scott McCallum, Thomas Sturm, Erika Ábrahám and Lawrence C. Paulson and has published in prestigious journals such as BMC Bioinformatics, Infection Control and Hospital Epidemiology and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Matthew England

27 papers receiving 129 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew England United Kingdom 6 54 28 24 16 13 35 134
Siu On Chan United States 5 76 1.4× 12 0.4× 33 1.4× 25 1.6× 3 0.2× 13 117
Mathias Weller France 8 87 1.6× 34 1.2× 30 1.3× 40 2.5× 22 169
John D. Eblen United States 5 27 0.5× 47 1.7× 26 1.1× 17 1.1× 3 0.2× 7 113
Gregory J. Puleo United States 8 69 1.3× 86 3.1× 82 3.4× 22 1.4× 4 0.3× 23 202
Fabien de Montgolfier France 6 71 1.3× 15 0.5× 24 1.0× 48 3.0× 17 129
Florian Sikora France 7 53 1.0× 30 1.1× 23 1.0× 22 1.4× 15 101
John Peebles United States 6 48 0.9× 8 0.3× 44 1.8× 16 1.0× 11 103
Subrata Saha United States 8 6 0.1× 71 2.5× 76 3.2× 14 0.9× 7 0.5× 32 183
Yuzhen Xie Canada 8 112 2.1× 10 0.4× 35 1.5× 10 0.6× 32 171
François Boulier France 5 57 1.1× 19 0.7× 8 0.3× 5 0.3× 27 101

Countries citing papers authored by Matthew England

Since Specialization
Citations

This map shows the geographic impact of Matthew England's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew England with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew England more than expected).

Fields of papers citing papers by Matthew England

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew England. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew England. The network helps show where Matthew England may publish in the future.

Co-authorship network of co-authors of Matthew England

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew England. A scholar is included among the top collaborators of Matthew England based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew England. Matthew England is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
England, Matthew, et al.. (2023). An iterated greedy algorithm with variable reconstruction size for the obnoxious p‐median problem. International Transactions in Operational Research. 32(1). 144–175. 1 indexed citations
2.
England, Matthew, et al.. (2022). Polynomial superlevel set representation of the multistationarity region of chemical reaction networks. BMC Bioinformatics. 23(1). 391–391. 2 indexed citations
3.
Boulier, François, et al.. (2022). Computer Algebra in Scientific Computing. Lecture notes in computer science. 1 indexed citations
4.
Boulier, François, et al.. (2021). Computer Algebra in Scientific Computing. Lecture notes in computer science. 1 indexed citations
5.
Ábrahám, Erika, James H. Davenport, Matthew England, & Gereon Kremer. (2020). Deciding the consistency of non-linear real arithmetic constraints with a conflict driven search using cylindrical algebraic coverings. Journal of Logical and Algebraic Methods in Programming. 119. 100633–100633. 5 indexed citations
6.
7.
England, Matthew, et al.. (2020). Computer Algebra in Scientific Computing. Lecture notes in computer science. 3 indexed citations
8.
England, Matthew, et al.. (2019). Algorithmically generating new algebraic features of polynomial systems for machine learning. Pure (Coventry University). 3 indexed citations
9.
Bradford, Russell, James H. Davenport, Matthew England, et al.. (2019). Identifying the parametric occurrence of multiple steady states for some biological networks. Journal of Symbolic Computation. 98. 84–119. 10 indexed citations
10.
Deshpande, Sumukh, et al.. (2019). PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets. Computers in Biology and Medicine. 105. 169–181. 29 indexed citations
11.
Davenport, James H., Matthew England, Alberto Griggio, Thomas Sturm, & Cesare Tinelli. (2019). Symbolic computation and satisfiability checking. Journal of Symbolic Computation. 100. 1–10. 5 indexed citations
12.
England, Matthew, et al.. (2019). Computer Algebra in Scientific Computing. Lecture notes in computer science. 4 indexed citations
13.
England, Matthew, Russell Bradford, & James H. Davenport. (2019). Cylindrical algebraic decomposition with equational constraints. Journal of Symbolic Computation. 100. 38–71. 9 indexed citations
14.
Rabe, Florian, et al.. (2017). Intelligent Computer Mathematics. Lecture notes in computer science. 2 indexed citations
15.
England, Matthew, et al.. (2015). A Comparison of Three Heuristics to Choose the Variable Ordering for Cylindrical Algebraic Decomposition. ACM communications in computer algebra. 48(3/4). 121–123. 1 indexed citations
16.
Eilbeck, J. C., Matthew England, & Yoshihiro Ônishi. (2014). Some new addition formulae for Weierstrass elliptic functions. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 470(2171). 20140051–20140051.
17.
England, Matthew, James H. Davenport, Michael Kohlhase, et al.. (2014). CICM-WS-WiP 2014 Workshop and Work in Progress Papers at CICM 2014 : Joint Proceedings of the MathUI, OpenMath and ThEdu Workshops and Work in Progress track at CICM co-located with Conferences on Intelligent Computer Mathematics (CICM 2014), Coimbra, Portugal, July 7-11, 2014. Radboud Repository (Radboud University). 3 indexed citations
18.
Wilson, David J. D. & Matthew England. (2013). Layered Cylindrical Algebraic Decomposition. The University of Bath Online Publications Store (The University of Bath). 1 indexed citations
19.
England, Matthew & Chris Athorne. (2012). Building Abelian functions with generalised Hirota operators. arXiv (Cornell University). 1 indexed citations
20.
England, Matthew. (2010). Higher Genus Abelian Functions Associated with Cyclic Trigonal Curves. Symmetry Integrability and Geometry Methods and Applications. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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